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1.
Contract price change during the construction phase: unforeseen market conditions
Nataša Šuman, Stanko Tominc, 2024, original scientific article

Abstract: The unstable economic conditions that have been in place in the Slovenian and international construction markets reveal the problem of a disproportionate increase in the prices of construction materials and energy products. Such increases will therefore result in higher costs of construction services, which would ultimately affect the total value of the construction project. These events in turn bring uncertainty to the construction project and would negatively impact the business of construction companies and investors. Legal and construction practices have so far developed various ways to regulate contract changes arising due to unforeseen market conditions. The present paper offers a contribution to the contract price change solution during the construction phase. The introduction first presents the measures and guidelines that deal with the differences in contract prices in Slovenia and some other countries. Then, various methods of calculating price differences that have emerged in current Slovenian practice are described. As a result, a proposal for a hybrid method of monthly price difference calculation is presented. The hybrid method represents a balanced solution resulting from the unforeseen increase in construction material prices on the market and is applicable to all construction projects. The three methods, i.e., a calculation method, a method based on the GZS-ZGIGM index, and a hybrid method, are applied to a real example of a public contract. The calculation of the price valorisation, represented as an index of the recognised price increases of contract works, is carried out. The results are compared, and further solutions are proposed.
Keywords: connstruction contract, construction market, contract price, price index
Published in DKUM: 03.03.2025; Views: 0; Downloads: 4
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2.
Clustering patterns in efficiency and the coming-of-age of the cryptocurrency market
Higor Y. D. Sigaki, Matjaž Perc, Haroldo V. Ribeiro, 2019, original scientific article

Abstract: The efficient market hypothesis has far-reaching implications for financial trading and market stability. Whether or not cryptocurrencies are informationally efficient has therefore been the subject of intense recent investigation. Here, we use permutation entropy and statistical complexity over sliding time-windows of price log returns to quantify the dynamic efficiency of more than four hundred cryptocurrencies. We consider that a cryptocurrency is efficient within a time-window when these two complexity measures are statistically indistinguishable from their values obtained on randomly shuffled data. We find that 37% of the cryptocurrencies in our study stay efficient over 80% of the time, whereas 20% are informationally efficient in less than 20% of the time. Our results also show that the efficiency is not correlated with the market capitalization of the cryptocurrencies. A dynamic analysis of informational efficiency over time reveals clustering patterns in which different cryptocurrencies with similar temporal patterns form four clusters, and moreover, younger currencies in each group appear poised to follow the trend of their 'elders'. The cryptocurrency market thus already shows notable adherence to the efficient market hypothesis, although data also reveals that the coming-of-age of digital currencies is in this regard still very much underway.
Keywords: cryptocurrency, market efficiency, financial trading, social physics
Published in DKUM: 26.02.2025; Views: 0; Downloads: 2
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3.
The difference of managerial approach in more or less design-oriented companies
Sanja Rocco, Aleksandra Pisnik, 2020, original scientific article

Abstract: While the market orientation of companies has been thoroughly analysed, a review of the marketing literature indicates that there is significantly less research on Design Orientation, and especially on their relationship. This paper analyzes the variables of Design and Market Orientation on the basis of existing models and develops the measurement instrument for future research. The study also investigates the impact of managerial approach on the exploitation of design resources in the company. Two hypotheses are developed: the first on the DO-MO relationship, acknowledging the multiple dimensions of Design Orientation and the second on the difference in managerial approach between more and less design-oriented companies. The first, qualitative stage of the research served to re-examine the research constructs and variables, while an Internet survey was used in the second, quantitative stage, among managers and CEOs from Croatian companies. The design dimensions in our final model represented intermediaries between Market Orientation, managerial approach, and market outcomes. Results confirm that managers in non-design oriented companies differ from those in design-oriented companies by perceived design value. Managers’ and CEOs’ awareness of design, its value and potentials, are of great importance for design implementation and Design Orientation of a company as a whole, especially in SMEs. Managerial approach, according to results, has a direct effect on Design Orientation, but it also influences Market Orientation, both directly and indirectly, as well as business success. Findings of this study can have implications for scholars, as well as for managers in practice, especially in emerging economies, which lack research in Design Orientation. Future research should be expanded to other countries in the region.
Keywords: design management, design orientation, market orientation, emerging markets, managerial approach
Published in DKUM: 13.02.2025; Views: 0; Downloads: 4
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4.
A Bayesian analysis of hop price fluctuations
Douglas MacKinnon, Martin Pavlovič, 2020, original scientific article

Abstract: This paper quantifies the correlation between U.S. season average prices for hops with U.S. hop stocks and U.S. hop hectarage. The Hop Equilibrium Ratio, a measure of the supply/demand relationship for U.S. hops, was introduced. Through the Bayesian inference method, the authors used these data to calculate the effect an incremental change to one metric had on the probability of directional changes of future U.S. season average prices (SAP). Between 2010 and 2020, the dominance of proprietary varieties created unprecedented cartel-like powers offering opportunities for supply- and price-management. Research results will enable more accurate forecasting and greater price stability in the hop industry.
Keywords: alpha-acid, Bayesian theorem, brewing industry, economies of scale, equillbrium, hop market
Published in DKUM: 28.01.2025; Views: 0; Downloads: 3
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5.
Social impact, innovations, and market activity of social enterprises : comparison of European countries
Barbara Bradač Hojnik, Katja Crnogaj, 2020, original scientific article

Abstract: The purpose of this article is to provide an insight into the specifics of social entrepreneurship in different business environments. The article, therefore, examines selected characteristics of social enterprises, namely social value, innovations, and market activities. In addition, differences in the start-up and operational phases of social enterprises were measured. Social enterprises must operate in a specific business context, which essentially hinders or promotes social entrepreneurship. As culture differs between north-western and south-eastern Europe, it is important to examine the differences in social entrepreneurship between these two groups of countries. To analyze the proposed characteristics, we used the latest data from the Global Entrepreneurship Monitor special report on social entrepreneurship. The results indicate that there exist differences in social impact measurement between observed groups of countries. Additionally, we confirmed differences between the observed groups of countries in terms of innovations and market activity of social enterprises in the operational phase. Our results also suggest that social entrepreneurship is more developed in north-western European countries than in south-eastern ones, with some elements in the north-western countries being more noticeable in the operational phase compared to the start-up phase.
Keywords: social entrepreneurship, social value creation, innovations, market activity, Global Entrepreneurship Monitor, GEM
Published in DKUM: 23.01.2025; Views: 0; Downloads: 6
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6.
Collective dynamics of stock market effciency
Luiz G. A. Alves, Higor Y. D. Sigaki, Matjaž Perc, Haroldo V. Ribeiro, 2020, original scientific article

Abstract: Summarized by the efcient market hypothesis, the idea that stock prices fully refect all available information is always confronted with the behavior of real-world markets. While there is plenty of evidence indicating and quantifying the efciency of stock markets, most studies assume this efciency to be constant over time so that its dynamical and collective aspects remain poorly understood. Here we defne the time-varying efciency of stock markets by calculating the permutation entropy within sliding time-windows of log-returns of stock market indices. We show that major world stock markets can be hierarchically classifed into several groups that display similar long-term efciency profles. However, we also show that efciency ranks and clusters of markets with similar trends are only stable for a few months at a time. We thus propose a network representation of stock markets that aggregates their short-term efciency patterns into a global and coherent picture. We fnd this fnancial network to be strongly entangled while also having a modular structure that consists of two distinct groups of stock markets. Our results suggest that stock market efciency is a collective phenomenon that can drive its operation at a high level of informational efciency, but also places the entire system under risk of failure.
Keywords: collective dynamics, social physics, econophysics, stock market
Published in DKUM: 14.01.2025; Views: 0; Downloads: 4
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7.
Artificial intelligence in travel agencies in Slovenia : 1st cycle professional bachelor's studies graduate thesis
Armin Bičo, 2024, undergraduate thesis

Abstract: Guided by the experience of how travel agencies operate and the significant expansion and success of artificial intelligence, an opportunity was seen to connect and explore these two areas. Many business processes in travel agencies are still outdated and monotonous, and can certainly be automated, such as data processing and analysis. Existing systems could be improved, and new ones could be introduced to enhance service quality and market competitiveness. The goal was to investigate how familiar travel agencies in Slovenia are with this technology, if travel agencies have experience with its use, and if integration of the technology into their operations is accepted. The current state of travel agencies in Slovenia and the steps needed for future progress are provided by this research. The focus is placed on the basics of artificial intelligence, travel agencies, and how they can function together. Field results were gathered by interviewing ten travel agencies in the Republic of Slovenia, providing a sample that aids further research. A SWOT analysis was conducted using all the obtained information to understand what artificial intelligence offers.
Keywords: Travel agency, artificial intelligence, Slovenia, automated, service quality, market competitiveness
Published in DKUM: 18.10.2024; Views: 0; Downloads: 23
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8.
Impact of social networks on the labor market inequalities and school-to-work transitions
Mahmut Özer, Matjaž Perc, 2021, original scientific article

Abstract: Countries invest in education systems in order to increase the quality of their human capital. In this context, it is seen that especially after the expansion of the higher education systems, countries try to increase higher education graduation rates in order to improve the quality of human resources in the labor market. The ultimate goal of these efforts is to facilitate the transitions from school-to-work, and to increase social welfare by meeting the human resources needs of the labor market. The facilitation of school-to-work transitions has a direct impact on youth unemployment. School-to-work transitions are influenced not only by the quality of education from primary to higher education but also by the dynamics of the labor market. Social network analysis can provide important insights into this dynamics, and in doing so reveal that there are indeed many factors that play a key role in determining who gets a job and why, including, first and foremost, social contacts. An analysis of job search channels reveals that partners, friends, and relatives are those social contacts that are most decisive for employment outcomes. Research reveals that employers use social-contact-based reference channels much more frequently than formal channels for recruitment. Thus, employers frequently use such reference channels in recruitment. It has also been shown that the use of social-contact channels reduces employers' costs of finding suitable employees and increases productivity since employees hired through these channels also stay longer in their firms. We here explore the full potential of social network analysis to better our understanding of school-to-work transitions, to reveal in no uncertain terms the importance of social contacts, and to show how these insights can be leveraged to level the labor market for all involved. An important take-home message is that the labor market dynamics is strongly affected by the Matthew effect, such that the inequalities and the gaps between opportunities only grow and widen as the underlying social networks evolve. It is therefore important to mitigate these effects well before school-to-work transitions come into play, namely during the education. In particular, we assert that minimizing the inequalities during education should effectively mitigate the uneven impact of social networks on school-to-work transitions.
Keywords: employment, higher education, inequality, labor market, Matthew effect, social network
Published in DKUM: 04.10.2024; Views: 0; Downloads: 7
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9.
The delayed surplus response for hops related to market dynamics
Douglas MacKinnon, Martin Pavlovič, 2022, original scientific article

Abstract: The cyclical nature of hop market pricing has been recorded since the 16th century, but the effect had never previously been documented or quantified. Using Bayesian inference in an analysis of data regarding the US hop industry collected and published by the United States Department of Agriculture (USDA) it was possible to measure the change of inventory and acreage responsiveness to price during periods of free and markets regulated through the enforcement of intellectual property rights (IPR). The data demonstrated a delayed, reduced, or total lack of responsiveness in the change of direction of acreage and inventory in response to directional changes in season average price (SAP) during free market periods. This reaction was referred to as the delayed surplus response (DSR). The data also demonstrated the absence of the DSR during periods in which proprietary varieties reached greater than 50% of US acreage and production. Patented plant varieties offer a legal monopoly over that intellectual property (IP). The absence of the DSR during periods in which a majority of US acreage and production were proprietary indicated a strong degree of control over supply. By extension, the owners of proprietary varieties demonstrated the ability to influence price at desired levels.
Keywords: Bayesian inference, brewing industry, disequilibrium, hop market, proprietary variety
Published in DKUM: 11.07.2024; Views: 75; Downloads: 7
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10.
Age and market capitalization drive large price variations of cryptocurrencies
Arthur A. B. Pessa, Matjaž Perc, Haroldo V. Ribeiro, 2023, original scientific article

Abstract: Cryptocurrencies are considered the latest innovation in finance with considerable impact across social, technological, and economic dimensions. This new class of financial assets has also motivated a myriad of scientific investigations focused on understanding their statistical properties, such as the distribution of price returns. However, research so far has only considered Bitcoin or at most a few cryptocurrencies, whilst ignoring that price returns might depend on cryptocurrency age or be influenced by market capitalization. Here, we therefore present a comprehensive investigation of large price variations for more than seven thousand digital currencies and explore whether price returns change with the coming-of-age and growth of the cryptocurrency market. We find that tail distributions of price returns follow power-law functions over the entire history of the considered cryptocurrency portfolio, with typical exponents implying the absence of characteristic scales for price variations in about half of them. Moreover, these tail distributions are asymmetric as positive returns more often display smaller exponents, indicating that large positive price variations are more likely than negative ones. Our results further reveal that changes in the tail exponents are very often simultaneously related to cryptocurrency age and market capitalization or only to age, with only a minority of cryptoassets being affected just by market capitalization or neither of the two quantities. Lastly, we find that the trends in power-law exponents usually point to mixed directions, and that large price variations are likely to become less frequent only in about 28% of the cryptocurrencies as they age and grow in market capitalization.
Keywords: cryptocurrency, price variation, market value, econophysics
Published in DKUM: 25.03.2024; Views: 224; Downloads: 18
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